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SCOM: A Scalable Content Centric Network Architecture with Mobility Support

机译:SCOM:具有移动性支持的可扩展内容中心网络架构

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摘要

Content centric network (CCN) enables users to retrieve contents of interest(e.g. videos, music etc.) using the content names directly. Researchers face two critical challenges in CCN design: content naming and mobility support. The content naming is a fundamental building block for CCN. Users must be able to obtain names of contents of interest fast so that contents can be correctly retrieved. Meanwhile, the rapid development of wireless technologies especially the emergence of cellular 4G networks allows users to retrieve content on the move. However, since mobile users may frequently change their attachment points (e.g. 4G, WiFi, WiMax etc.), the CCN architecture must be able to handle mobility effectively so that a user can still get the content when being connected to a different attachment point. In this paper, we propose SCOM, a scalable content centric network architecture with mobility support, to solve those two issues. SCOM adopts an improved keyword-based naming resolution method to enable faster name retrieval. Users could retrieve names of contents of interest by sending keyword queries to the corresponding Content Resolution Servers (CRS). For mobility, SCOM provides efficient solutions for both keyword based queries, and content retrievals for users on the move. Via large scale simulation studies using real internet topology, we demonstrated that our solutions are effective in terms of shorter query response times and faster content retrievals during mobility.
机译:以内容为中心的网络(CCN)使用户可以直接使用内容名称检索感兴趣的内容(例如视频,音乐等)。研究人员在CCN设计中面临两个关键挑战:内容命名和移动性支持。内容命名是CCN的基本构建块。用户必须能够快速获得感兴趣的内容的名称,以便可以正确检索内容。同时,无线技术的飞速发展,尤其是蜂窝4G网络的出现,使用户可以随时随地检索内容。但是,由于移动用户可能经常更改其连接点(例如4G,WiFi,WiMax等),因此CCN体系结构必须能够有效地处理移动性,以便用户在连接到其他连接点时仍能获取内容。在本文中,我们提出了SCOM(具有移动性支持的可扩展的以内容为中心的网络体系结构)来解决这两个问题。 SCOM采用了改进的基于关键字的命名解析方法,可以更快地检索名称。用户可以通过将关键字查询发送到相应的内容解析服务器(CRS)来检索感兴趣的内容的名称。为了提高移动性,SCOM为基于关键字的查询和移动用户的内容检索提供了有效的解决方案。通过使用实际Internet拓扑的大规模模拟研究,我们证明了我们的解决方案在缩短查询响应时间和在移动过程中加快内容检索方面是有效的。

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